QCar, the feature vehicle of the Self-Driving Car Research Studio, is an open-architecture, scaled vehicle designed for academic research. It is equipped with a wide range of sensors including LIDAR, 360-degree vision, depth sensor, IMU, encoders, as well as user-expandable IO. The vehicle is powered with an NVIDIA® Jetson™ TX2 supercomputer that gives you exceptional speed and power efficiency. Working individually or in a fleet, QCar is the ideal vehicle for validating your research concepts such as Dataset generation, Mapping, Navigation, Machine Learning, Artificial Intelligence, and many more.

One of the greatest challenges in teaching programming and computer science concepts is keeping students curious and motivated, and Edutech – Auto Auto’s genius idea of working at the intersection of data science, AI, and self-driving cars is unmatched. Faculties can make use of our 160+ hours of Python Programming and Artificial Intelligence curriculum, 300+ auto-graded exercises and assessments, and HANDS-ON projects on Auto Auto Self-Driving Cars to make your AI programs cutting edge & fun for your students.

Full-stack, cost-effective, and high-performance, it supports open-source autonomous driving software Apollo and Autoware, as well as platforms like ROS, MATLAB/Simulink and more. With software and hardware platform stacks, plus comprehensive user manuals and documentation, it is dedicated to lowering the entry barrier of autonomous driving development. It empowers academic professors, educational experts, developers, and general engineers to quickly develop and deploy autonomous vehicles, build/test algorithms, and to launch AV demonstrations, sparking more possibilities.

Quanser Autonomous Vehicles Research Studio is the ideal solution for academics looking to build an indoor multi-vehicle research lab and the only option for research groups looking to jumpstart autonomous robotics research programs and be productive in a very short amount of time. The studio consists of an aerial vehicle QDrone and ground vehicle Qbot2e with a ground control station, vision system, and safety netting and floor.

High-performance drone for indoor labs
The Quanser QDrone autonomous air vehicle is a midsize quadrotor equipped with a powerful onboard Intel® Aero Compute Board, multiple high-resolution cameras, and built-in Wi-Fi. As part of the Autonomous Vehicles Research Studio, this direct-access research-grade drone is tuned to accelerate your research and is ideal for innovative research in multi-agent, swarm, and vision-based applications.

UNIVERSITY AI LAB – MASTERING AI
An autonomous agent is an intelligent agent operating on an owner’s behalf but without any interference from that ownership entity. An intelligent agent is a car that needs to integrate with the rest of the traffic, a soccer player, that needs to pass the ball to its team members, or a shelf-moving robot in a warehouse that needs to deliver its product to the picker. All of them need to negotiate and collaborate with ad-hoc team members that don’t always share the same goals.

4B Biped Inverse Kinematics Algorithm Learning Teaching Kit
Our ROS based Humanoid is an intelligent humanoid robot built on the Robot Operating System (ROS). It boasts 24 degrees of freedom (DOF) and is powered by a Raspberry Pi. With self-stabilizing inverse kinematics, It excels in walking, climbing, hurdling, grasping, and performing complex movements. Furthermore, its height, turning radius, and speed can be adjusted! 

A robot designed to interact with humans
JD is a humanoid robot that inspires teaching and empowers learning. Teach your students about technology while integrating interdisciplinary learning outcomes. JD offers scalable capabilities that grow with students as they learn to code with complex technologies such as Object tracking, Speech recognition, Artificial intelligence (AI) and Machine learning.

Train Reinforcement Learning Agents To Control Quanser QUBE™ Pendulum
Reinforcement learning (RL) is a subset of Machine Learning that uses dynamic data, not static data like unsupervised learning or supervised learning. Reinforcement learning is used in many different applications, such as training computer programs to perform certain tasks for autonomous vehicles. It is also used in control systems.

The collaborative & open-source robot designed for Education & Research
– Reproduce advanced industrial processes using its 6 axis and test many uses oriented towards industry 4.0.
– Based on open-source technologies, Ned integrates a Raspberry Pi 4 making it reactive and versatile.
– Made in France

There’s a lot of excitement about what artificial intelligence (AI) can do in manufacturing. AI-driven robots can autonomously make decisions about what work gets done, how it gets done and who does it. There are practical applications of intelligence that make this possible, including these: Monitor, See, Adapt, Learn, Deploy and Extend.

Complete set with PLC S7-1500
The term “industry 4.0” stands for linking industrial production with intelligent and networked systems to enable production to become as self-organized as possible. The Edutech – Fischertechnik models are already Industry 4.0 ready today.

Space exploration has captured the imagination of generations. In recent years we are seeing a race to “democratize space” and give access to everyone who wishes (and can afford) to go to space. Companies like SpaceX, Virgin Galactic and Blue Origin are selling tickets to space, and it won’t be long before we could simply hitchhike to mars.

Happy coding, building, problem-solving, engineering, and collaborating!
The TETRIX® MAX Programmable Robotics Set contains the PRIZM® Robotics Controller and the building elements needed for students to engineer, code, and test solutions using real-world robotics technology and fuzzy logic.

• Ideal training, simulation and demonstration model for education and research
• Visualization of AI systems, machine learning and neural networks
• Networking of theory and practice for a sustainable learning result
• Already built, stable training model. Mounted on stable wooden plate, packaging of the model in stable cardboard box

UNIVERSITY AI LAB – MASTERING AI
The last mile in automated fulfillment is a smart warehouse, where items move around to answer demand surge and inventory availability. With products moving around autonomously, companies today can deliver an unrivaled performance from online click to shipment within minutes.

High-performance Autonomous Ground Robot for Indoor Labs
The Quanser QBot is an innovative open-architecture autonomous ground robot, built on a 2-wheel mobile platform. Equipped with built-in sensors, and a vision system, and accompanied by extensive courseware, the QBot is ideally suited for teaching undergraduate and advanced robotics and mechatronics courses.

NAO is the first robot created by SoftBank Robotics. Famous around the world, NAO is a tremendous programming tool and it has especially become a standard in education and research. Researchers have used AI and cognitive computing system demonstrations with NAO humanoid robot, including using IBM Watson services like Natural language Classifier, Conversation, Visual-Face Recognition and Google speech to text, etc.

Pepper & NAO is powerful tools for healthcare advocacy and are seen as essential touch points to raise awareness for a disease or provide a unique and optimized patient experience for better disease management. With remote-monitoring capabilities, our robots empower patients to access larger-scope and value-added care. Pepper and NAO are the perfect learning & training tools to enhance a patient’s functional ability & intrinsic capacity Taking advantage of the embedded and cloud-based cognitive computing services, our robots can have continuously evolving behaviors to interact with your patients based on their real-time analysis results.

Quanser’s telepresence solution consists of a Quanser QArm manipulator along with a Quanser HD² High Definition Haptic Device. The open architecture design of the solution allows researchers to quickly develop and deploy emerging applications in telerobotics, telepresence, machine learning, assistive robotics, collaborative robotics, and more using MATLAB/Simulink. Quanser’s QArm is a 4 DOF serial robotic manipulator with a tendon-based two-stage gripper and an RGBD camera, designed for modern engineering education and academic research applications. The HD² High-Definition Haptic Device is a high-delity haptic interface for advanced research in haptics and robotics.

OptiTrack real-time tracking systems are the world’s choice for low latency, precision 6DoF tracking for ground and aerial robotics (UAV’s). We produce the most precise and easy to use indoor and outdoor positioning systems for input into all the major AI Based control system.

UNIVERSITY AI LAB – MASTERING AI
From remote surgery to bomb disposal, in many cases we don’t have the human talent where and when we need it, or we don’t want to risk a human in life-threatening situations. While Da-Vinci surgical robots are helping doctors perform procedures half-a-world away, they also learn, and soon will be able to perform procedures like stitching better than any human doctor.

UNIVERSITY AI LAB – MASTERING AI
Human-Robot Interaction is an important aspect of our interaction with technology and robotics. Whenever humans interact and interface with technology, they bring their biases, for better or worse. The research AI station is designed to create life-like simulations that surface these biases and help develop solutions that overcome gaps when interacting with technology.

Quanser’s QArm is a 4 DOF serial robotic manipulator with a tendon-based two-stage gripper and an RGBD camera, designed for modern engineering education and academic research applications. Leveraging the intuitive graphical interface of Simulink® or the expandability of Python™ and ROS. The open architecture design of QArm allows researchers to quickly develop and deploy their applications in machine learning, assistive robotics, collaborative robotics, and more, using both custom and internal control schemes.

Robots stand to benefit the world of agriculture in all sorts of ways, from inspecting crops to herding sheep to combing fields and zapping weeds with lasers. We’re also starting to see how they can play a role on the food production side of things, with robots emerging that can pick apples, and raspberries and harvest iceberg lettuce, or even prune fruit trees to keep them healthy and free from disease. Here this Industrial Robot arm system combined with computer vision and a vacuum end-effector to select and pick ripe fruit, transferring it into a bin.

UNIVERSITY AI LAB – MASTERING AI
Smart Farming is using modern technology to increase the quantity and quality of agricultural products. By using computer vision algorithms, robotic arms, drones, IoT and smart irrigation, the farmer can produce higher yields in a smaller space, using fewer resources, and at a higher quality.

The program is designed to give access to cutting-edge technologies that will solve the global feeding challenge ahead of us.

• Provides systems such as heating, ventilation, and air conditioning to monitor or control the light, temperature, and humidity required for plants
• Builds a system that can determine the optimal conditions for temperature, luminosity, moisture and CO2 levels, etc.
• Provides DC LED lighting for plant growth, water pump control function through moisture sensor
• Provides intake and exhaust fans for ventilation systems
• Roll screen type door system is configured by installing a motor

Agricultural Science with Vernier contains a collection of 29 experiments that can be useful in teaching & research in agricultural science. Some experiments are designed to be done in the field and some in the classroom or laboratory.

Topics Include
Fundamentals of Agricultural Science | Plant and Soil Science | Animal Science | Energy and Electricity | General Topics in Agricultural Science | Data Logger

Inspection & Surveillance Robots, for the Energy, Utility & Services industry

Meanwhile, our authorized surveillance & intelligent Inspection Robot dog models can be applied by factories, parks, substations, law enforcement agencies, urban underground pipe corridors, and other important places, through routine inspections and designated inspections in the above areas, to obtain environmental information and identification information of sensing equipment. Robot dogs are based on advanced control algorithms, it has multiple motion modes such as walking, sliding, jumping, running, and back somersault.

• IoT test bed platform based on Open API that can test the interworking of smart home products
• Divided into door, living room, and kitchen areas, and AI IoT Service for each area is supported
• Consists of high-performance AIoT server, high-performance access point, IoT nodes (sensors and actuators), display, camera, and audio (microphone, speaker)
• High-performance IoT server supports AI accelerated computation through CUDA GPGPU
• GUI-based test bed operation monitoring through 43-inch 4K UHD large monitor including touch screen

• The main module supporting AI accelerated calculation, and multimedia & environment sensors are integrated into the base board
• The main module is an edge supercomputer with up to 21TOPS supporting all popular AI frameworks
• Provides Gigabit Ethernet, dual-band Wi-Fi and Bluetooth
• Supports Speech to Text, Text to Speech, and voice commands through digital microphone and speaker
• Various IoT sensor modules supported by dedicated expansion interface

The LabVIEW Analytics and Machine Learning Toolkit is a software add-on for LabVIEW that provides training machine learning models. You can use these models to discover patterns in large amounts of data with anomaly detection and classification and clustering algorithms. Additionally, these models can recognize patterns in new data on NI Linux Real-Time and Windows targets. The LabVIEW Analytics and Machine Learning Toolkit helps you work with condition monitoring, predictive maintenance applications, and more.

Coding, Artificial Intelligence and Machine Learning are embedding and spreading rapidly into every imaginable technology we use. Edutech provides an extraordinary technology platform for exploring these topics through multiple coding environments, physical computing attributes, real-time sensor integrations, and more. This tiny package packs a wallop with more power and capabilities than any other multi-sensor device on the planet. Ideal for multi-disciplinary investigations, students need only one databot™, a smart device, and an insatiable curiosity to explore the invisible world of scientific data that surrounds us!

Accelerate Speed & Accuracy Ansys is using AI/ML methods to automatically nd the simulation parameters to improve speed and accuracy simultaneously.

Ansys uses deep neural networks within the Ansys RedHawk-SC family of products to speed up Monte Carlo simulations up to 100 times to better understand the impact of voltage on timing.

An automotive customer took advantage of Ansys OptiSLang’s machine learning techniques to find an autonomous solution to the so-called “stuck” traffic problem, in which a vehicle in front suddenly changes lanes and slows traffic. They were able to nd a solution to this 1,000 times faster than when using their previous Monte Carlo methods.

With the use of AI / ML, we are entering a world of generative design, exploring 10,000 different designs based on specifications and quickly simulating them with high-performance computing and Ansys Cloud to provide the best option to the designer.